Aiingo // AI in Retail
Personalize offers, automate journeys, and turn traffic into predictable revenue.
Mobile‑first, dark theme guide with an advanced ROI calculator, live n8n automation demos, and a call‑agent simulator to help you visualize the shift from manual ops to intelligent retail systems.
| Dimension | Traditional | AI‑Retail |
|---|---|---|
| Launch Speed | Traditional 3–6 weeks Slow | AI‑Retail 24–72h Fast |
| Creative Testing | Traditional Manual A/B (weekly) | AI‑Retail Auto multivariate (hourly) |
| Data Latency | Traditional 24–72h | AI‑Retail Real‑time |
| Team Hours / Week | Traditional 25–40h | AI‑Retail 6–12h |
| Average ROAS | Traditional 1.8–2.5× | AI‑Retail 2.8–4.5× |
| Personalization | Traditional Static rules | AI‑Retail Per‑user, live |
Benchmarks are directional; use the calculator below with your numbers.
Estimate incremental revenue, ops savings, and payback by switching to AI‑Retail workflows. All numbers are private to your device.
| Metric | Value |
|---|---|
| Incremental Ad Revenue | — |
| E‑commerce Uplift | — |
| In‑Store Uplift | — |
| Ops Savings / Month | — |
| Total Monthly Impact | — |
| Payback (months) | — |
Tap **View Flow** to preview a simplified flow and understand the moving parts. Buttons are stubs — wire them to your instance.
{
"trigger": "hourly",
"nodes": [
{"Meta Insights": {"metrics": ["spend","roas","cpa","ctr"]}},
{"OpenAI": "summarize performance & propose 3 new variants"},
{"Creative Generator": "render headlines & images"},
{"Meta/Google": "create experiments with budget guardrails"},
{"GSheet": "append change log & results"}
],
"controls": {"min_roas": 2.5, "max_cpa": 30}
}
{
"trigger": "abandoned_cart",
"nodes": [
{"GSheet": "fetch cart details"},
{"OpenAI": "draft empathetic WA message with product highlights"},
{"WA Cloud": "send template + deep link to checkout"},
{"Timer": "24h"},
{"WA Cloud": "send limited-time coupon if no purchase"}
],
"tracking": {"utm_source": "wa-recovery", "coupon": "AIINGO10"}
}
{
"trigger": "webhook: erp.item_update",
"nodes": [
{"ERPNext": "get updated SKU, price, stock"},
{"Rule": "if stock < threshold → pause ads"},
{"Shopify/Woo": "update price & inventory"},
{"Slack/Email": "notify merch team"}
],
"failover": {"retry": 3, "alert": "on-call"}
}
{
"trigger": "nightly",
"nodes": [
{"Play/Google": "fetch new reviews"},
{"Sentiment": "score & cluster themes"},
{"OpenAI": "summarize issues & propose fixes"},
{"Slides/Canva": "render a weekly insights deck"}
]
}
This lightweight simulator shows how an AI agent could triage a retail owner’s request before routing to a human. Replace stubs with your own LLM + telephony.
Live version: connect to WA Cloud / Twilio Voice + n8n + your LLM endpoint.